Agriculture has been practised all over the world for a very long. Traditional knowledge and stakeholder involvement in agriculture results in high productivity. Artificial intelligence (AI) is increasingly reorganized as a transformative force in the field of agriculture and the integration of AI with traditional knowledge systems represents a pivotal frontier in the pursuit of sustainable agriculture. The fusion of Artificial Intelligence (AI) and traditional agricultural knowledge presents a novel approach to sustainable agriculture. This integration leverages AI’s capabilities in precision farming, predictive analytics, and resource management, alongside time-tested traditional practices. Such synergy enhances efficiency, reduces waste, and promotes resilient agricultural systems, potentially transforming the way we address global food security and environmental sustainability. The path forward involves marrying technological innovation with the wisdom of traditional farming to foster a sustainable future for agriculture. This paper critically analyses how AI technologies such as machine learning, data analysis, etc. and traditional knowledge might work together to handle modern agricultural difficulties sustainably. This approach will not only help farmers to optimize resource management, predict environmental changes, and improve crop yield resilience in the face of climate variability but also help in preserving cultural heritage. The paper emphasizes the role of government support and policy formulation, the necessity for awareness programs for farmers and consumers, and identifies research gaps.